With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

     This book will give you a comprehensive overview of the Canadian history. Author James Weber did the research and compiled this huge list of events that changed the course of this nation forever. Some of them include: - Prehistoric hunters cross over into North America from Asia (30,000 - 10,000 BC) - The Inuit people begin to move into what are now the Northwest Territories (2000 BC) - Leif Ericsson leads Viking expedition to the new World (C.1000 AD) - Martin Frobisher sails to the Hudson Bay (1576) - Samuel de Champlain establishes a French colony (1608) - Treaty of Saint-Germain-en-Laye returns Québec to France (1632) - Treaty of Utrecht (1713) - Great Britain founds Halifax (1749) - The USA invades British colonies (1812-14) - The provinces of Alberta and Saskatchewan are created (1905) - World War II (1939-45) - The St Lawrence Seaway Opens (1959) - The Québec referendum on sovereignty is narrowly defeated (1995) - Canada declines to enter the War in Iraq (2003) and many many more The book includes pictures and explanations to every event, making this the perfect resource for students and anyone wanting to broaden their knowledge in histoy. Download your copy now! Tags: history, world history, history books, history of the world, human history, world history textbook, history books for kids, earth history, geographic history, earth history kindle, human history, history books for kids age 9 12, history of the world part 1, canadian history nonfiction, history books for kids age 7-9, history books for young readers, history books for children, canadian history books, history books for kindle, canadian history encyclopedia, canadian history, canadian history books, canadian history for dummies, canadian history textbook, canada history books, canada history, canada

    This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples--ready for immediate application to your next graph or presentation.Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data--Storytelling with Data will give you the skills and power to tell it!

    Learn how to interpret questions and how to plan, structure and write your assignment or report. This free course, Essay and report writing skills, is designed to help you develop the skills you need to write effectively for academic purposes.

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    No really, it is. Let me explain.It turns out that drooling dogs and ringing bells are far more important than a logo (thank you Pavlov).Sure, successful businesses have logos--easily recognizable logos. Playboy, McDonald's, Coke. But there's far more to their success than bunny ears, golden arches or a certain shade of red. Stripped of all the marketing lingo, branding is pretty simple: Your brand is all the associations that come to mind when your potential customers see or hear your name.Whether your focus is on personal branding or on branding your company culture--you've got to have more than a fancy logo and edgy color scheme to create brand stickability (you know, a brand your customers can't get out of their heads).Well, there’s a process to capturing attention and getting your foot in the door of your customers’ minds. Here's a taste of some of the personal branding advice you'll find in this book:You must become the first solution your customer thinks of when they have a problem you can solve. How?The first step is to figure out what your audience cares about. What keeps them up at night? What problems can you help them solve? From there, you need to apply these three steps:1) Frequency2) Repetition3) AnchoringIn this e-book, we’ll show you how to figure out what your customers really want. Then we will show you how to apply these three steps to help you become the trusted resource that comes to mind first when your customer’s itch needs to be scratched.Is real and authentic branding going to happen overnight? Probably not. But ask yourself this: Do you want short-term results that lose effectiveness? Or are you willing to invest a bit more time and effort to create long-term results that get better and better?If you're looking for a branding book that promises a quick fix, this isn't the book for you. But if you want to create a brand that sticks like superglue--read this book!Go ahead and let the wimps and whiners have the get-rich quick schemes that fizzle and fall flat like a wet firework. You want to ignite a branding bonfire.

    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    Although dashboards are potentially powerful, this potential is rarely realized. The greatest display technology in the world won't solve this if you fail to use effective visual design. And if a dashboard fails to tell you precisely what you need to know in an instant, you'll never use it, even if it's filled with cute gauges, meters, and traffic lights. Don't let your investment in dashboard technology go to waste.This book will teach you the visual design skills you need to create dashboards that communicate clearly, rapidly, and compellingly. Information Dashboard Design will explain how to:Avoid the thirteen mistakes common to dashboard design Provide viewers with the information they need quickly and clearly Apply what we now know about visual perception to the visual presentation of information Minimize distractions, cliches, and unnecessary embellishments that create confusion Organize business information to support meaning and usability Create an aesthetically pleasing viewing experience Maintain consistency of design to provide accurate interpretation Optimize the power of dashboard technology by pairing it with visual effectiveness Stephen Few has over 20 years of experience as an IT innovator, consultant, and educator. As Principal of the consultancy Perceptual Edge, Stephen focuses on data visualization for analyzing and communicating quantitative business information. He provides consulting and training services, speaks frequently at conferences, and teaches in the MBA program at the University of California in Berkeley. He is also the author of Show Me the Numbers: Designing Tables and Graphs to Enlighten. Visit his website at www.perceptualedge.com.

    The new Professional in Human Resources (PHR) and Senior Professional in Human Resources (SPHR) exams from the Human Resources Certification Institute (HRCI) reflect the evolving industry standards for determining competence in the field of HR. This new edition of the leading PHR/SPHR Study Guide reflects those changes. Serving as an ideal resource for HR professionals who are seeking to validate their skills and knowledge, this updated edition helps those professionals prepare for these challenging exams.Features study tools that are designed to reinforce understanding of key functional areasProvides access to bonus materials, including a practice exam for the PHR as well as one for the SPHR. Also includes flashcards and ancillary PDFsAddresses key topics such as strategic management, workforce planning and employment, compensation and benefits, employee and labor relations, and Occupational Safety and Health Administration regulationsThis new edition is must-have preparation for those looking to take the PHR or SPHR certification exams in order to strengthen their resume.

    What with broken promises, complicated jargon and a lack of simple and clear information, is it any wonder that voter turnout is plummeting? It's not that you don't care about the way the country is run - it's that you don't think you can change it. Well, you can. And this book aims to show you how, by setting out basic politics and answering questions we've all asked, like: Why do politicians lie? What do UKIP stand for? And what's going to happen to the NHS? You have a decision to make in the countdown to the May 2015 General Election. You have something politicians want. Your vote. An ambassador for #SwingtheVote and the presenter of Free Speech, Rick Edwards has written a pithy and succinct book explaining the power of your vote. A refreshing counterpoint to Russell Brand's sentiments on voting in his latest book, Revolution, it will make you think about politics in a completely new way.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora